Yoon, Jaesik

12 publications

NeurIPS 2025 Adaptive Inference-Time Scaling via Cyclic Diffusion Search Gyubin Lee, Bao N Nguyen Truong, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn

NeurIPS 2025 Compositional Monte Carlo Tree Diffusion for Extendable Planning Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn

NeurIPS 2025 Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn

ICML 2025 Monte Carlo Tree Diffusion for System 2 Planning Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn

ICML 2024 Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn

ICLR 2024 Spatially-Aware Transformers for Embodied Agents Junmo Cho, Jaesik Yoon, Sungjin Ahn

ICML 2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn

ICML 2021 Generative Video Transformer: Can Objects Be the Words? Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

NeurIPSW 2021 TransDreamer: Reinforcement Learning with Transformer World Models Chang Chen, Jaesik Yoon, Yi-Fu Wu, Sungjin Ahn

ICML 2020 Robustifying Sequential Neural Processes Jaesik Yoon, Gautam Singh, Sungjin Ahn

NeurIPS 2019 Sequential Neural Processes Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn

NeurIPS 2018 Bayesian Model-Agnostic Meta-Learning Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn